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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
SEMWEB
2009
Springer
14 years 3 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
AINA
2004
IEEE
14 years 19 days ago
Online Training of SVMs for Real-time Intrusion Detection
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...
Zonghua Zhang, Hong Shen
COOPIS
2003
IEEE
14 years 2 months ago
Automatic Expansion of Manual Email Classifications Based on Text Analysis
The organization of documents is a task that we face as computer users daily. This is particularly true for management of email. Typically email documents are organized in director...
Enrico Giacoletto, Karl Aberer
IJCAI
1993
13 years 10 months ago
FASTUS: A Finite-state Processor for Information Extraction from Real-world Text
Approaches to text processing that rely on parsing the text with a context-free grammar tend to be slow and error-prone because of the massive ambiguity of long sentences. In cont...
Douglas E. Appelt, Jerry R. Hobbs, John Bear, Davi...